Uncertainty quantification in computational fluid dynamics
  • Autor: Vv.aa.
  • Editor: Springer international publishing
  • Los datos publicados: 2013-11-12
  • ISBN: 9783319008844
  • Formato de libro: PDF, EPUB, DOCx, TXT
  • Numero de paginas: 350 pages
  • Tamaño del archivo: 4 mb
  • Clasificacion:

Sinopsis de Uncertainty quantification in computational fluid dynamics de Vv.aa.:

Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.

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Uncertainty quantification in computational fluid dynamics



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Agradable cuota de hombre!


Permiten que sea relevante para un momento: Dios mío, este libro es excepcional !!


Contento de haber llegado este libro. Yo estar detrás con la reacción.


Contento de que finalmente descargado la versión epub. Estoy muy contento.

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